Constrained-size torque maximization in SynRM machines by means of genetic algorithms

Synchronous Reluctance Motors have always been an alternative to more mainstream machines such as the Permanent Magnet Synchronous Motor, but until recently they have not found their right place in industrial applications. This progressing adoption begins with the replacement of the current solutions, but this presents the design challenge of finding a surrogate which conforms to the specifications for a given application. In order to overcome this challenge, an evolutionary design methodology for SynRM is presented. The proposed approach uses a set of design constraints to maximize the mechanical power of the motor taking into account the specified rated speed. Since the calculation of the torque of the motor is critical, an iterative method for the evaluation of iron losses has been introduced. Finally, the proposed approach is validated by means of FEM simulation and the calculation of the efficiency map of the results.